Last Thursday I had the pleasure to work with IBM for their Fast Track Your Data event in Munich, Germany. In 48 sweet hours we managed to record A LOT of video footage — most of important of which (in my opinion) was the discussion and debate about “what is GDPR compliance?” and what GDPR means to your business’s bottom line. All present in this debate were Ronald Van Loon, Chris Penn, David Vellante, Jim Kobielus, Dez Blanchfield, Joe Caserta, and myself…

What is GDPR compliance?

Learn the answer to the question “what is GDPR compliance?”,  the full story behind GDPR, and hear the ensuing debate about data privacy laws and their effects on business. Arguments were made both for and against. 🙂
I am curious to hear from you! What are your thoughts and opinions on the GDPR issue? Please write them in the comments section below.

Lillian Pierson, P.E.

Lillian Pierson is a CEO & data leader that supports data professionals to evolve into world-class leaders & entrepreneurs. To date, she’s helped educate over 1.3 million data professionals on AI and data science. Lillian has authored 6 data books with Wiley & Sons Publishers as well as 8 data courses with LinkedIn Learning. She’s supported a wide variety of organizations across the globe, from the United Nations and National Geographic, to Ericsson and Saudi Aramco, and everything in between. She is a licensed Professional Engineer, in good standing. She’s been a technical consultant since 2007 and a data business mentor since 2018. She occasionally volunteers her expertise in global summits and forums on data privacy and ethics.

This Post Has 3 Comments

  1. Igor G.

    Hi Lillian,
    I support GDPR. They made a step to regulate how data should be stored and managed by companies in a secure fashion. I highly support a “right to erasure”. A data object should decide whether to disclose his/her data or not, ie to have a full access to regulate own data usage by any third party.

  2. madmaus

    I notice that there is a need for better clarification on DataScience vernacular. The Machine Learning vs. Deep Learning conversation was amusing to say the least. 🙂
    Data Lake? Data Swamp? ummm…. ok… I have much to learn but I do get the gist.

    GDPR is a maturation of a regulation (from Safe Harbor) and it is a continued effort in securing personal data. It is European specific but in the core of it all, this is not new. It is personal / human data that needs appropriate and reasonable protections, no matter where the data may be. Basic (1)DIT – Data-In-Transit, (2)DAR-Data-At-Rest, (3)DIM-Data-In-Motion is a good start. At around 33:00, the conversation in regards to the amount of data received from an Infrastructure is phenomenal. I guess that is why we need Data Engineers and Scientists to transform and optimize and the data in a valuable reusable form.

    At 44:00, you hit the nail on the head, GDPR is unenforceable in its truest sense. You go girl! Bravo for speaking up. It would have been fun to have a debate.

    From a security professional perspective, this is a challenge in translating enforceable technical security controls especially when you have multiple platforms in place and the lack of correlative insightful, useful and meaningful information. My approach starts simplistic, wherein, if a company has done its due diligence and due care in securing personal information from the ground up, then it is a matter of tweaking, enhancing the systems and work flows to reasonably accommodate compliance for global citizens (in my mind). If not, then it gets more challenging, nonetheless, my interest lies more towards Data Science and deep learning that will and can point out the gaps (if the right questions are asked) to the point of being able to concisely predict potential breaches, who it affects and how much it will cost…. Now that is a money maker.

    1. Very interesting, and thank you for your kind words!! I am wondering, you mentioned deep learning. I am curious, what are your favorite use cases for deep learning in security?

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